DocumentCode
2071841
Title
Battery status identification of battery management system with asynchronous sampling
Author
Gu, Qiang ; Cheng, Xiusheng ; Lu, Zhonghua ; Liu, Xi ; Song, Yongdao
Author_Institution
Coll. of Automotive Eng., Jilin Univ., Changchun, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
934
Lastpage
937
Abstract
Battery management system (BMS) which measures battery status with high accuracy has a critical effect on the performance of power battery and the entire car. To solve the problem of identification precision decreasing for the reason of BMS asynchronous sampling, the original computing method is improved by using gradient adjustment method and based on order 2 RC battery model. A simulation is performed by using Simulink, the identification results between the original computing method and improved one are compared, the precision of the latter is better than the former under the condition of current sampling time point after voltage sampling.
Keywords
battery management systems; gradient methods; BMS asynchronous sampling; RC battery model; Simulink; battery management system; battery status identification; gradient adjustment method; Batteries; Battery management systems; Capacitance; Delay; Equations; Mathematical model; Resistance; Asynchronous sampling; Battery management system; Battery status identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4577-1700-0
Type
conf
DOI
10.1109/TMEE.2011.6199356
Filename
6199356
Link To Document